Run: 2026-07-25-01KYCPMYP76W1FKYQ0X6AYJSNF

Run Details

Duration:
10.5s
Cost:
$0.012765
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.9995% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
Molly spread the crayon-drawn invitation across the table like a battle map. "Party starts at two," she said. "Bouncy castle here, snack table here, and the presents pile up on this folding table by the hydrangeas." Bill squinted. "How many kids?" "Fourteen. Plus mothers." "Mothers are worse than dogs." "Mothers are worse than *anything*," Molly agreed. "But mothers watch each other. They don't watch the presents." Bill unwrapped a lollipop he'd stolen from a bank lobby. "So what am I, then?" "You're the entertainment. Clown suit's in the car." "Absolutely not." "Bill." "I have dignity. I did four years in Wandsworth with my dignity intact." "Nobody suspects a clown." "Everybody suspects a clown! That's the entire cultural understanding of clowns!" Molly tapped the hydrangeas. "You'll do balloon animals for eleven minutes. I'll load the wheelbarrow. We're gone before the cake." Bill chewed the lollipop stick, defeated. "What if a child asks me a question?" "Answer it wrong. Children love that." He stood, sighing, and collected the garish bundle of polyester from the sofa. "One condition," he said. "We leave the birthday boy's present. The big one, with the bike shape." Molly considered. "Fine," she said. "We're thieves, not monsters."
created_at"2026-07-25T13:15:20.142Z" 7/25/2026, 1:15:20 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1313
moderation_latency(null)
generation_time10435
tokens_prompt75
tokens_completion328
native_tokens_prompt93
native_tokens_completion492
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"end_turn"
service_tier"default"
usage0.012765
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNqXXs55T7MGGMmjXhSB"
is_byokfalse
latency1311
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784985320-Fob3P2zzw2yswLpKX23o"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784985320-l0Vk1aKSJBguZetLjnOY"
upstream_id"msg_011CdNqXXs55T7MGGMmjXhSB"
total_cost0.012765
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words199
0.00% Dialogue to Total Word Ratio
Ratio: 71.00%, Deviation: 21.00%
neededCleanfalse
wordsTotal200
wordsDialogue142
49.9995%